Sick and Tired: Understanding and Managing Sleep Difficulties in ...

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Logistic Regression As 97% of the sample revealed a PSQI score of >6 (the cut-off score) used by the PSQI, the sample was split into two groups based on the median score to indicate those experiencing milder (those scoring 0-13, N= 56) and more severe levels of sleep difficulties (those scoring 14 or above) to enable an exploration of the factors associated with more severe forms of sleep disturbance. A logistic regression was conducted entering in the variables; age, gender, positive affect, negative affect, and the eight subscale scores of the RAND SF-36 using the forward log likelihood method. This method compares each variable in the model in the absence and presence of other variables to explore its contribution to the model. Variables not significantly contributing to the model are excluded. The final model with significant predictors is shown in Table 3, revealing that only the lower quality of life in the RAND SF-36 subscale relating to role difficulties due to emotional problems is significantly associated with more severe global sleep disturbances. Table 3. Final model of variables associated with global sleep quality in the logistic regression B Standard P value Odds 95% Confidence Error ratio Intervals Constant -0.41 .28 Role difficulties due to emotional problems -0.2 .01 0.00 0.98 0.97-0.99 As the distribution of health outcomes was negatively skewed on the SF36, participants could not be classified into those with poor or good health outcomes within this study consequently, logistic regression was deemed not to be appropriate. Structural equation modelling offered an analytic approach that would assist in exploring the complex relationships between variables that emerged in the correlation analysis. This approach offers the ability to explore how the variables interact, the validity of the data and enables the investigation of moderating and mediating variables. However, according to Tabachnick and Fidell (2007) prior knowledge of the potential relationships between variables is needed to apply structured equation modelling. Because this was an exploratory analysis (due to the fact that the nature of the relationships between variables is unknown in this population) and considering the number of variables that would need to be entered into the structural equation model, the sample size of this study was considered to be too small to apply structural equation modelling to the data 70
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Sick and Tired: Understanding and M
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Chapter Four. The Nature and Effect
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References ........................
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List of Tables Table 1. Participant
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Co-authored Works Although the stud
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Acknowledgments This thesis would n
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Intellectual Property Rights There
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Confidential Material No participan
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The role of sleep in FMS appears to
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little information was available as
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Psychophysiologic insomnia which is
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and are less able to inhibit the pa
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widely applied in clinical practice
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of fewer tender points; usually bet
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Current Management Strategies The t
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also likely to depend on a number o
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deep sleep (stages three and four)
Page 35 and 36: Although sleep moves through the sl
Page 37 and 38: Figure 3. The Integrative Model of
Page 39 and 40: However, conducting a blood test is
Page 41 and 42: As sleep is a complex process invol
Page 43 and 44: Sleep Diaries Sleep diaries are a k
Page 45 and 46: pain). Lentz et al (1999) revealed
Page 47 and 48: These results have also been suppor
Page 49 and 50: (McCracken & Iverson, 2002) which s
Page 51 and 52: Figure 4. Conceptual model of the d
Page 53 and 54: Clinical Implications Despite the p
Page 55 and 56: Chapter Three. Sleep in FMS As high
Page 57 and 58: & Penzien, 2003), although alpha wa
Page 59 and 60: pauses in breathing indicative of s
Page 61 and 62: Relationships between Sleep and Pai
Page 63 and 64: Managing Sleep Disturbance in FMS D
Page 65 and 66: may be possible to help patients im
Page 67 and 68: person to initiate an action (such
Page 69 and 70: and Nicassio et al (1995) only expl
Page 71 and 72: 1) Poor sleep quality, defined by t
Page 73 and 74: elow 0.7 are acceptable. Therefore
Page 75 and 76: heart disease (Epstein et al., 1999
Page 77 and 78: In order to explore the links betwe
Page 79 and 80: questionnaire 78 (77.2%) of the par
Page 81 and 82: efficiency, suggesting that partici
Page 83 and 84: Older age and longer length of illn
Page 85: Table 2. Correlations between demog
Page 89 and 90: in bed, participants may have devel
Page 91 and 92: Relationship between Negative Affec
Page 93 and 94: participants, who may be less likel
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Page 97 and 98: eactions are most likely to be detr
Page 99 and 100: It has been suggested that the auto
Page 101 and 102: For both groups, participants were
Page 103 and 104: with and without chronic medical co
Page 105 and 106: As previously described on page 61,
Page 107 and 108: Figure 7. Scree plot for the explor
Page 109 and 110: Figure 8. Scree plot for the explor
Page 111 and 112: Table 6. Participant characteristic
Page 113 and 114: Table 7. Measures of central tenden
Page 115 and 116: CON = DBAS-10 Dysfunctional beliefs
Page 117 and 118: The Exp (B) values revealed that hi
Page 119 and 120: has explored the use of napping on
Page 121 and 122: It became clear, through the analys
Page 123 and 124: interventions. With this in mind, t
Page 125 and 126: The philosophy of phenomenology was
Page 127 and 128: Methods Participants were given a w
Page 129 and 130: Table 11. Interview schedule for th
Page 131 and 132: Rigour The interview transcripts we
Page 133 and 134: “The main symptom is this overwhe
Page 135 and 136: Theme Two. Inter-relationship betwe
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where I live, so I don‟t know, I
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Participants also described how the
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“XXXX (name of person) planned a
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A strong theme that emerged in this
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conducted at several time points, w
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Chapter Seven. Investigating the Ef
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activities because they no longer f
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Therefore as this was a feasibility
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Self-reported sleep quality was ass
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The progressive muscle relaxation (
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Exploring the baseline data, there
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Consequently, univariate analysis w
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There was no significant correlatio
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people with FMS (Perlis, Giles, Men
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The aim of this study was to explor
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observed in perceived overall sleep
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elaborated on in Chapter Six, which
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Four) revealed that global sleep qu
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Modifications to the Call-Schmidt a
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MBSR programme in people with FMS (
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diagnostic criteria for these sleep
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comprehensive measures to look at t
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References Abad, V. C., Sarinas, P.
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Brand, S., Gerber, M., Beck, J., Ha
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Crofford, L. J., & Demitrack, M. A.
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Goldenberg, D. L., Kaplan, K. H., N
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Johns, M. W. (2002). Sleep propensi
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Leung, Y. Y., Ho, K. W., Zhu, T. Y.
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Mease, P. J. (2005). Fibromyalgia s
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symptoms in healthy subjects; Corre
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approach with illustration to the h
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Thomas, E. N., & Blotman, F. (2010)
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Yunus, M. B., Masi, A. T., & Aldag,
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Appendices Appendix A: Search Strat
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Sleep and Fibromyalgia Syndrome Con
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190
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The following questions relate to y
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There are lots of ways to try to de
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42. I try hard to prevent other thi
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During the past month have you had
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Appendix E: Published paper of Stud
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202
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Sleep and Fibromyalgia Syndrome Con
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Appendix H: Participant Questionnai
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Below are 10 statements reflecting
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The questions in this scale ask you
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Appendix I. Published Paper for Stu
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Appendix K. Information Sheet and C
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Sleep in Fibromyalgia Syndrome Cons
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Appendix L: Letter of Ethical Appro
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Appendix M. Letter to GPs for Study
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What are the side effects of any tr
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Appendix O: Poster Advertising Stud
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Appendix Q: Participant Questionnai
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HAD Scale Read each item and place
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During the past month have you had
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Appendix R. Letter from Dr Mark Cro
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PUBLICATIONS Peer Reviewed Journal
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and panic-like episodes, Faculty of
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